| Literature DB >> 33008349 |
Shoko Ono1, Ayako Nozaki2, Kana Matsuda3, Emi Takakuwa4, Naoya Sakamoto3, Hidemichi Watari2.
Abstract
BACKGROUUND: For patients with any kind of atypical squamous intraepithelial lesion of the uterine cervix or vagina, colposcopy and punch biopsy are common procedures for histological determination following cytology. However, colposcopy-guided biopsy does not provide a high level of diagnostic accuracy. The aim of this study was to determine the usefulness of optical biopsy in vivo using endocytoscopy compared with conventional procedures using colposcopy.Entities:
Keywords: Cervical intraepithelial Neoplasia; Colposcopy; ECA classification; Endoscopes; Vaginal neoplasms
Mesh:
Year: 2020 PMID: 33008349 PMCID: PMC7530973 DOI: 10.1186/s12885-020-07460-6
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Fig. 1Classification of atypia by endocytoscopy. a ECA 1: Regular arrangement of small nuclei. b ECA 2: Different sizes of nuclei with halos. c ECA 3: Increase of cells without enlarged nuclei. d ECA 4: Slight increase of the ratio of nucleus ± cytoplasm. e ECA 5: Increase of the ratio of nucleus ± cytoplasm and irregular arrangement of enlarged and blurred nuclei
Fig. 2Histopathology of cervical intraepithelial neoplasia. Hematoxylin and eosin staining (× 400). a CIN 1. b CIN 2. c CIN 3
Characteristics of patients
| Numbers, n | 28 |
| Age (mean, range), years | 43 (25–68) |
| Preoperative diagnosis, n | |
| VAIN | 2 |
| CIN | 26 |
| Diagnosis of colposcopy guided biopsy, n | |
| < VAIN 3 and < CIN 3 | 6 |
| CIN 3 | 17 |
| SCC | 4 |
| Intervention, n | |
| Cervical and resection of vagina | 24 |
| Mapping biopsy | 4 |
| Final diagnosis, n | |
| No dysplasia | 4 |
| CIN 2 | 1 |
| VAIN 3 and CIN 3 | 19 |
| SCC | 4 |
VAIN: vaginal intraepithelial neoplasia, CIN: cervical intraepithelial neoplasia, SCC: squamous cell carcinoma
Correlations between ECS classification and histological diagnosis (the most prominent sites)
| Biopsy | < CIN 3 | ≥ CIN 3 | Total, n |
|---|---|---|---|
| ECS classification | |||
| ECS 1–3, n | 7 | 1 | 8 |
| ECS 4, 5, n | 1 | 19 | 20 |
| Total, n | 8 | 20 | 28 |
CIN cervical intraepithelial neoplasia, VAIN vaginal intraepithelial neoplasia, ECS endocytoscopy
Sensitivity; 95.0 (84.8–98.6), specificity; 87.5 (61.9–96.5), PPV; 95.0 (84.8–98.6), NPV; 87.5; (61.9–96.5), accuracy; 92.9 (78.2–98.0) (95% CI)
Correlations between ECS classification and histological diagnosis (including the most prominent sites and surrounding area)
| Biopsy | < CIN 3 | ≥ CIN 3 | Total, n |
|---|---|---|---|
| ECS classification | |||
| ECS 1–3, n | 4 | 2 | 26 |
| ECS 4, 5, n | 5 | 23 | 28 |
| Total, n | 29 | 25 | 54 |
CIN cervical intraepithelial neoplasia, VAIN vaginal intraepithelial neoplasia, ECS endocytoscopy
Sensitivity; 92.0 (79.9–97.6), specificity; 82.8 (72.4–87.5), PPV; 82.1 (71.4–87.1), NPV; 92.3 (80.7–97.6), accuracy; 87.0 (75.9–92.2) (95% CI)
Fig. 3Receiver operating characteristic curve. ROC curve for diagnosing CIN 3 or VAIN 3 or worse in ECA 4 and 5. The area under the curve was 0.89
Correlations of histological diagnosis between colposcopy guided biopsy and final procedures
| Final procedure | < CIN 3 | ≥ CIN 3 | Total, n |
|---|---|---|---|
| Colposcopy | |||
< CIN 3 < VAIN 3, n | 2 | 5 | 7 |
≥ CIN 3 ≥ VAIN 3, n | 2 | 18 | 20 |
| Total, n | 4 | 23 | 27 |
CIN cervical intraepithelial neoplasia, VAIN vaginal intraepithelial neoplasia
Sensitivity; 78.3 (72.3–84.1), specificity; 50.0 (16.0–83.5) PPV; 90.0 (83.2–96.7), NPV; 28.6 (9.1–47.7), accuracy; 74.1(64–84.0) (95% CI)
Diagnostic performance of each observer
| Observer | Sensitivity | Specificity | PPV | NPV | Accuracy |
|---|---|---|---|---|---|
| A (endoscopist) | 88.0 (75.4–95.1) | 82.8 (71.9–88.9) | 81.5 (69.8–88.1) | 88.9 (77.2–99.5) | 85.2 (73.5–91.8) |
| B (gynecologist) | 92.0 (79.7–97.6) | 79.3 (68.7–84.1) | 79.3 (68.7–84.1) | 92.0 (79.7–97.6) | 85.2 (73.8–90.4) |
| C (pathologist) | 95.7 (83.1–99.2) | 77.4 (68.1–80.1) | 75.9 (65.9–78.7) | 96.9 (84.4–99.3) | 85.2 (74.5–88.2) |
PPV positive predictive value, NPV negative predictive value